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M.Tech AI/ML Neural Networks — practice questions

Explore 29 free Neural Networks questions in M.Tech AI/ML Computer Science. Open each question or exercise to read its content, reference answers and available explanation.

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Neural Networks questions and exercises with answers

Showing questions 1–29 of 29.

A structure built from small decision making units is a neural:Read the answer and worked solution →The main purpose of a neural network is to do what with complex data?Read the answer and worked solution →A famous training dataset of handwritten digits is used for image processing and:Read the answer and worked solution →The way neurons work in a network is said to be analogous to neurons in the:Read the answer and worked solution →Data first enters a neural network at the:Read the answer and worked solution →A neuron sends a signal only when it receives the right input. That sending is called:Read the answer and worked solution →After the last hidden layer, the signal passes to the:Read the answer and worked solution →With several output neurons, the network's answer is the one with highest:Read the answer and worked solution →Each connection between two neurons carries how many parameters?Read the answer and worked solution →The value multiplied by an incoming signal is called the:Read the answer and worked solution →The value added to a weighted signal, making activation more or less likely, is the:Read the answer and worked solution →In a network with four layers, how many of them are hidden?Read the answer and worked solution →A network with multiple hidden layers, developed in the 1980s, is the multilayer:Read the answer and worked solution →A model that fits its training data too closely and generalises poorly shows:Read the answer and worked solution →The function used to measure error in a neural network is the:Read the answer and worked solution →Training adjusts weights and biases in a way that reduces the:Read the answer and worked solution →Learning in a neural network is essentially minimising the loss over all:Read the answer and worked solution →Training steps are repeated until the model reaches a sufficient level of:Read the answer and worked solution →A loss function used when the goal is to predict continuous values suits:Read the answer and worked solution →A loss function used when the output is either 0 or 1 suits binary:Read the answer and worked solution →The closer average loss is to zero, the smaller the:Read the answer and worked solution →Catch the network partsRead the answer and worked solution →Pop the activation shapesRead the answer and worked solution →Run the network gatesRead the answer and worked solution →Slice the AI wordsRead the answer and worked solution →Structure or trainingRead the answer and worked solution →Sort the AI ideasRead the answer and worked solution →Type the numberRead the answer and worked solution →Neural network bingoRead the answer and worked solution →

Worked practice questions

A structure built from small decision making units is a neural:

  1. Network
  2. Notebook
  3. Nutshell
  4. Napkin
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Correct answer: A. Network

1. The units each take inputs and give an output. 2. They are linked together in layers. 3. That structure is a neural network. _Source: OpenStax Principles of Data Science, Chapter 7, Neural Networks._

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The main purpose of a neural network is to do what with complex data?

  1. Classify it
  2. Compress it
  3. Conceal it
  4. Convert it
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Correct answer: A. Classify it

1. It sorts inputs into categories. 2. Handwritten digits are the classic example. 3. So it classifies data. _Source: OpenStax Principles of Data Science, Chapter 7, Neural Networks._

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A famous training dataset of handwritten digits is used for image processing and:

  1. Machine locking
  2. Machine learning
  3. Machine loading
  4. Machine lettering
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Correct answer: B. Machine learning

1. It supplies labelled examples. 2. Models train on those examples. 3. So it serves machine learning. _Source: OpenStax Principles of Data Science, Chapter 7, Neural Networks._

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